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Introduces the Epistemic Probabilistic Language Agents (EPLA) model, a neuro-symbolic architecture for enhancing multi-agent LLM coordination by integrating epistemic logic, probabilistic belief engines, and symbolic guards to ensure protocol-governed actions under uncertainty.
This paper traces the origin and history of the Muddy Children Puzzle, a classic epistemic logic puzzle, through publications spanning two centuries, and presents a novel hats puzzle involving self-reference.
This paper introduces Preregistered Belief Revision Contracts (PBRC), a protocol-level mechanism for multi-agent systems (including LLM-based agents) that separates open communication from admissible belief changes by publicly fixing evidence triggers and revision operators. The work addresses dangerous conformity effects in agent deliberation and provides formal guarantees that social-only pressure cannot drive false consensus.